A constrained $$\ell $$ ℓ 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models.
Beilun WangRitambhara SinghYanjun QiPublished in: Mach. Learn. (2017)
Keyphrases
- graphical models
- gaussian graphical models
- belief propagation
- probabilistic model
- probabilistic graphical models
- random variables
- sparse representation
- probabilistic inference
- markov networks
- structure learning
- bayesian networks
- approximate inference
- exact inference
- factor graphs
- belief networks
- graph structure
- conditional independence
- map inference
- learning problems
- statistical inference
- conditional random fields
- expectation maximization
- structural learning